Introduction to statistical methods for biosurveillance: with an emphasis on syndromic surveillance
Bioterrorism is not a new threat, but in an increasingly interconnected world, the potential for catastrophic outcomes is greater today than ever. The medical and public health communities are establishing biosurveillance systems designed to proactively monitor populations for possible disease outbr...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2013
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| Online-Zugang: | BSB01 FHN01 Volltext |
| Zusammenfassung: | Bioterrorism is not a new threat, but in an increasingly interconnected world, the potential for catastrophic outcomes is greater today than ever. The medical and public health communities are establishing biosurveillance systems designed to proactively monitor populations for possible disease outbreaks as a first line of defense. The ideal biosurveillance system should identify trends not visible to individual physicians and clinicians in near-real time. Many of these systems use statistical algorithms to look for anomalies and to trigger epidemiologic investigation, quantification, localization and outbreak management. This book discusses the design and evaluation of statistical methods for effective biosurveillance for readers with minimal statistical training. Weaving public health and statistics together, it presents basic and more advanced methods, with a focus on empirically demonstrating added value. Although the emphasis is on epidemiologic and syndromic surveillance, the statistical methods can be applied to a broad class of public health surveillance problems |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xvi, 399 pages) |
| ISBN: | 9781139047906 |
| DOI: | 10.1017/CBO9781139047906 |
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| 505 | 8 | |a Machine generated contents note: Part I. Introduction to Biosurveillance: 1. Overview; 2. Biosurveillance data; Part II. Situational Awareness: 3. Situational awareness for biosurveillance; 4. Descriptive statistics for displaying the situation; 5. Statistical models for evaluating the situation; Part III. Early Event Detection: 6. Design and performance evaluation; 7. Univariate temporal methods; 8. Multivariate temporal methods; 9. Spatio-temporal methods; Part IV. Putting It All Together: 10. Simulating biosurveillance data; 11. Applying the temporal methods to real data; 12. Comparing methods to better understand and improve; 13. Frontiers, open questions, and future research | |
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| contents | Machine generated contents note: Part I. Introduction to Biosurveillance: 1. Overview; 2. Biosurveillance data; Part II. Situational Awareness: 3. Situational awareness for biosurveillance; 4. Descriptive statistics for displaying the situation; 5. Statistical models for evaluating the situation; Part III. Early Event Detection: 6. Design and performance evaluation; 7. Univariate temporal methods; 8. Multivariate temporal methods; 9. Spatio-temporal methods; Part IV. Putting It All Together: 10. Simulating biosurveillance data; 11. Applying the temporal methods to real data; 12. Comparing methods to better understand and improve; 13. Frontiers, open questions, and future research |
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| discipline | Soziologie |
| doi_str_mv | 10.1017/CBO9781139047906 |
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| spelling | Fricker, Ronald D. 1960- Verfasser aut Introduction to statistical methods for biosurveillance with an emphasis on syndromic surveillance Ronald D. Fricker, Jr Cambridge Cambridge University Press 2013 1 online resource (xvi, 399 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) Machine generated contents note: Part I. Introduction to Biosurveillance: 1. Overview; 2. Biosurveillance data; Part II. Situational Awareness: 3. Situational awareness for biosurveillance; 4. Descriptive statistics for displaying the situation; 5. Statistical models for evaluating the situation; Part III. Early Event Detection: 6. Design and performance evaluation; 7. Univariate temporal methods; 8. Multivariate temporal methods; 9. Spatio-temporal methods; Part IV. Putting It All Together: 10. Simulating biosurveillance data; 11. Applying the temporal methods to real data; 12. Comparing methods to better understand and improve; 13. Frontiers, open questions, and future research Bioterrorism is not a new threat, but in an increasingly interconnected world, the potential for catastrophic outcomes is greater today than ever. The medical and public health communities are establishing biosurveillance systems designed to proactively monitor populations for possible disease outbreaks as a first line of defense. The ideal biosurveillance system should identify trends not visible to individual physicians and clinicians in near-real time. Many of these systems use statistical algorithms to look for anomalies and to trigger epidemiologic investigation, quantification, localization and outbreak management. This book discusses the design and evaluation of statistical methods for effective biosurveillance for readers with minimal statistical training. Weaving public health and statistics together, it presents basic and more advanced methods, with a focus on empirically demonstrating added value. Although the emphasis is on epidemiologic and syndromic surveillance, the statistical methods can be applied to a broad class of public health surveillance problems Public health surveillance Public health surveillance / Statistical methods Epidemics / Prevention Überwachung (DE-588)4134175-2 gnd rswk-swf Biologische Waffe (DE-588)4145624-5 gnd rswk-swf Terrorismus (DE-588)4059534-1 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Prävention (DE-588)4076308-0 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Biologische Waffe (DE-588)4145624-5 s Terrorismus (DE-588)4059534-1 s Prävention (DE-588)4076308-0 s Überwachung (DE-588)4134175-2 s Statistik (DE-588)4056995-0 s 2\p DE-604 Erscheint auch als Druckausgabe 978-0-521-19134-0 https://doi.org/10.1017/CBO9781139047906 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Fricker, Ronald D. 1960- Introduction to statistical methods for biosurveillance with an emphasis on syndromic surveillance Machine generated contents note: Part I. Introduction to Biosurveillance: 1. Overview; 2. Biosurveillance data; Part II. Situational Awareness: 3. Situational awareness for biosurveillance; 4. Descriptive statistics for displaying the situation; 5. Statistical models for evaluating the situation; Part III. Early Event Detection: 6. Design and performance evaluation; 7. Univariate temporal methods; 8. Multivariate temporal methods; 9. Spatio-temporal methods; Part IV. Putting It All Together: 10. Simulating biosurveillance data; 11. Applying the temporal methods to real data; 12. Comparing methods to better understand and improve; 13. Frontiers, open questions, and future research Public health surveillance Public health surveillance / Statistical methods Epidemics / Prevention Überwachung (DE-588)4134175-2 gnd Biologische Waffe (DE-588)4145624-5 gnd Terrorismus (DE-588)4059534-1 gnd Statistik (DE-588)4056995-0 gnd Prävention (DE-588)4076308-0 gnd |
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| title | Introduction to statistical methods for biosurveillance with an emphasis on syndromic surveillance |
| title_auth | Introduction to statistical methods for biosurveillance with an emphasis on syndromic surveillance |
| title_exact_search | Introduction to statistical methods for biosurveillance with an emphasis on syndromic surveillance |
| title_full | Introduction to statistical methods for biosurveillance with an emphasis on syndromic surveillance Ronald D. Fricker, Jr |
| title_fullStr | Introduction to statistical methods for biosurveillance with an emphasis on syndromic surveillance Ronald D. Fricker, Jr |
| title_full_unstemmed | Introduction to statistical methods for biosurveillance with an emphasis on syndromic surveillance Ronald D. Fricker, Jr |
| title_short | Introduction to statistical methods for biosurveillance |
| title_sort | introduction to statistical methods for biosurveillance with an emphasis on syndromic surveillance |
| title_sub | with an emphasis on syndromic surveillance |
| topic | Public health surveillance Public health surveillance / Statistical methods Epidemics / Prevention Überwachung (DE-588)4134175-2 gnd Biologische Waffe (DE-588)4145624-5 gnd Terrorismus (DE-588)4059534-1 gnd Statistik (DE-588)4056995-0 gnd Prävention (DE-588)4076308-0 gnd |
| topic_facet | Public health surveillance Public health surveillance / Statistical methods Epidemics / Prevention Überwachung Biologische Waffe Terrorismus Statistik Prävention Aufsatzsammlung |
| url | https://doi.org/10.1017/CBO9781139047906 |
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